Gaussian Processes for Machine Learning in Julia

Probabilistic Programming with Gaussian processes in Julia

JuliaGaussianProcesses

Julia package for kernel functions for machine learning

JuliaGaussianProcesses

Abstract types and methods for Gaussian Processes.

JuliaGaussianProcesses

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

JuliaGaussianProcesses

Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...

JuliaGaussianProcesses

Bayesian Linear Regression in Julia

JuliaGaussianProcesses

Provides likelihood functions for Gaussian Processes.

JuliaGaussianProcesses

Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

JuliaGaussianProcesses

Foundational tooling for handling collections of parameters in models

JuliaGaussianProcesses